The effects of structural and psychological empowerment on perceived respect in acute care nurses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The recruitment and retention crisis has catalyzed interest in workplace empowerment for nurses. Many nurses feel that they do not receive the respect they deserve in hospital settings; however, there are few systematic studies of respect for nurses. OBJECTIVE: The purpose of this study was to examine the relationships between structural and psychological empowerment and their effects on hospital nurses' perceptions of respect. METHOD: A secondary analysis was conducted of data from a larger study of 500 randomly selected hospital staff nurses. A predictive, non-experimental survey design was used to test a hypothesized model derived from Kanter's Work Empowerment Theory. RESULTS: Both structural and psychological variables were significant independent predictors of respect, although structural empowerment had considerably greater explanatory power. CONCLUSIONS: The findings support Kanter's theory. Hospital nurses who perceive themselves to be structurally and psychologically empowered are more likely to feel respected in the workplace. IMPLICATIONS FOR NURSING MANAGEMENT: Changing workplace structures is within the mandate of nurse managers in their roles as advocates for and facilitators of high-quality care. Nurse managers have the influence and resources to facilitate empowering work conditions that can increase nurses' feelings of being respected. In addition, promoting collaborative inter-professional and intra-professional relationships and assuring continuous support to nurses are particularly important strategies for building respect.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it